# Terminal MCP Server

> Use this tool when you need to manage multiple terminal sessions simultaneously, enabling AI agents to spawn, interact with, and orchestrate concurrent sessions via tmux, solving problems like automated task execution and workflow orchestration. It takes input commands and session configurations, outputting controlled terminal interactions. Ideal for use cases requiring automated, concurrent, and controlled terminal session management.

Canonical page: https://skillsregistry.net/skills/quantum-encoding-terminal-mcp  
JSON: https://api.skillsregistry.net/v1/skills/quantum-encoding-terminal-mcp

## Description

Enables AI agents to spawn, interact with, and orchestrate multiple concurrent terminal sessions via tmux.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w6xemigvnd)
- **Repository:** <https://github.com/quantum-encoding/terminal-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "quantum-encoding-terminal-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/quantum-encoding-terminal-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/quantum-encoding-terminal-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt